[colincooke]

Interesting product strategy, but I can't help laugh at some of the product examples like "barcodeless scanner" or "quality inspection" (I can only comment on imaging as that's my background). First of all the idea of replacing a perfectly functional barcode scanner with an ML model is not a great sell (having how much I pay at the register dependent on the lighting at the grocery store is not going to be a fun time). Second, ML models are great when failure is OK at a specific rate, none of the image classification examples shown have that characteristic.

While I'm sure the founders are competent and understand these limitations, it's unfortunate that they've chosen such flawed examples to show off on their home page.

[danott]

Actually, all these examples are straight from our userbase. I can't speak to how successful they're being in their own businesses, but they seem happy with the ML. The 'barcodeless scanner' in particular is about scanning bulk foods that don't have barcodes, and it seems to work for them.

[octodog]

Barcodeless scanner is a great example, this is something that major supermarkets are already rolling out as a complement to their self-serve checkouts.